I interviewed at Applied Materials (Santa Clara, CA)
Interview
Call from the hiring manager, all the questions were based on previous projects and work related to machine learning and deep learning, focused on frameworks of sklearn, pandas and keras
I sat with the team manager and another worker, they asked me about my project that I had on my CV and then asked me 2 coding questions, the questions were medium difficulty.
Interview questions [2]
Question 1
find the number that is smaller than x% of the array, it was also given that the array had ints of one char Byte meaning numbers could go from 1 to 256 and you can bucket sort